graph LR
IDEA--ACP-->ClaudeCode
ClaudeCode--MCP-->FileSystem
ClaudeCode--MCP-->Git
ClaudeCode--MCP-->Database

# macOS/Linux
curl -fsSL https://claude.ai/install.sh | bash

# Windows PowerShell
irm https://claude.ai/install.ps1 | iex

npm install -g @anthropic-ai/claude-code --registry=https://registry.npmmirror.com

sudo apt-get install -y nodejs npm
nvm install --lts

{
  "model": "sonnet",
  "language": "zh-CN",
  "permissions": {
    "allow": ["Edit(src/**)", "Bash(git *)"],
    "deny": ["Read(.env)"]
  },
  "hooks": {
    "pre-commit": "npm run lint"
  }
}

npm install -g @anthropic-ai/claude-code

claude --version

  import os
  import requests
  from concurrent.futures import ThreadPoolExecutor, as_completed
  from pathlib import Path
  from typing import List, Tuple
>?
  # -------------------------- 配置參數(shù) --------------------------─────────────────────────────────────────────────────────────
  # 待下載的圖片URL列表（示例）
  IMAGE_URLS = [
      "https://picsum.photos/id/1001/200/300",  # 示例圖片1
      "https://picsum.photos/id/1002/200/300",  # 示例圖片2
      "https://picsum.photos/id/1003/200/300",  # 示例圖片3
      "https://picsum.photos/id/1004/200/300",  # 示例圖片4
      "https://picsum.photos/id/1005/200/300",  # 示例圖片5
      # 可添加更多URL...
  ]
  # 本地保存目錄（自動創(chuàng)建）
  SAVE_DIR = "./downloaded_images"
  # 線程池大?。ńㄗh：CPU核數(shù)*5 或 根據網絡帶寬調整）
  THREAD_COUNT = 5
  # -------------------------- 核心函數(shù) --------------------------
  def download_single_image(url: str, save_dir: str) -> Tuple[bool, str]:
      """
      單線程下載一張圖片
      :param url: 圖片URL
      :param save_dir: 保存目錄
      :return: (是否成功, 錯誤信息/保存路徑)
      """
      try:
          # 1. 生成保存文件名（從URL提取或用UUID，避免重復）
          # 方式1：從URL末尾提取文件名（若URL有文件名）
          # filename = url.split("/")[-1]
          # 方式2：用URL的哈希值作為文件名（避免重復，推薦）
          import hashlib
          filename = hashlib.md5(url.encode("utf-8")).hexdigest() + ".jpg"
          # 2. 創(chuàng)建保存路徑
          save_path = Path(save_dir) / filename
          save_path.parent.mkdir(parents=True, exist_ok=True)  # 自動創(chuàng)建目錄
          # 3. 發(fā)送HTTP請求（帶超時和headers，模擬瀏覽器）
          headers = {
              "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)
  Chrome/120.0.0.0 Safari/537.36"
          }
          response = requests.get(url, headers=headers, timeout=10, stream=True)
          response.raise_for_status()  # 自動拋出HTTP錯誤（如404, 500）
          # 4. 分塊保存圖片（避免內存占用過大）
          with open(save_path, "wb") as f:
              for chunk in response.iter_content(chunk_size=1024 * 1024):  # 1MB 分塊
                  if chunk:
                      f.write(chunk)
          return (True, str(save_path))
      except requests.exceptions.RequestException as e:
          return (False, f"請求錯誤: {str(e)}")
      except IOError as e:
          return (False, f"保存錯誤: {str(e)}")
      except Exception as e:
          return (False, f"未知錯誤: {str(e)}")
  # -------------------------- 多線程下載主函數(shù) --------------------------
  def batch_download_images(url_list: List[str], save_dir: str, thread_count: int) -> None:
      """
      多線程批量下載圖片
      :param url_list: 圖片URL列表
      :param save_dir: 保存目錄
      :param thread_count: 線程數(shù)
      """
      print(f"開始下載：共{len(url_list)}張圖片，使用{thread_count}線程")
      print(f"保存目錄：{Path(save_dir).resolve()}")
      print("=" * 60)
      # 創(chuàng)建線程池
      with ThreadPoolExecutor(max_workers=thread_count) as executor:
          # 1. 提交所有下載任務
          future_to_url = {
              executor.submit(download_single_image, url, save_dir): url
              for url in url_list
          }
          # 2. 遍歷任務結果（完成一個顯示一個）
          success_count = 0
          for future in as_completed(future_to_url):
              url = future_to_url[future]
              try:
                  success, result = future.result()
                  if success:
                      success_count += 1
                      print(f"? 下載成功: {result}")
                  else:
                      print(f"? 下載失敗 [{url}]: {result}")
              except Exception as e:
                  print(f"? 任務執(zhí)行錯誤 [{url}]: {str(e)}")
      # 3. 下載完成統(tǒng)計
      print("=" * 60)
      print(f"下載完成：成功{success_count}/{len(url_list)}張")
      print("=" * 60)
  # -------------------------- 運行入口 --------------------------
  if __name__ == "__main__":
      # 調用多線程下載函數(shù)
      batch_download_images(IMAGE_URLS, SAVE_DIR, THREAD_COUNT)

import requests
from threading import Thread
import os
from requests.exceptions import RequestException
# 圖片URL列表（替換為有效URL）
image_urls = [
    "https://picsum.photos/id/237/200/300",
    "https://picsum.photos/id/10/200/300",
    "https://picsum.photos/id/25/200/300"
]
# 保存路徑
save_path = "./downloaded_images"
# 創(chuàng)建保存目錄
if not os.path.exists(save_path):
    os.makedirs(save_path)
# 下載函數(shù)（新增異常捕獲）
def download_image(url, filename):
    try:
        response = requests.get(url, timeout=10)
        response.raise_for_status()  # 拋出HTTP錯誤
        with open(os.path.join(save_path, filename), 'wb') as f:
            f.write(response.content)
        print(f"{filename} 下載完成")
    except RequestException as e:
        print(f"{filename} 下載失敗：{str(e)}")
# 啟動線程下載
threads = []
for i, url in enumerate(image_urls):
    filename = f"image_{i+1}.jpg"
    t = Thread(target=download_image, args=(url, filename))
    threads.append(t)
    t.start()
# 等待所有線程完成
for t in threads:
    t.join()
print("所有圖片下載任務執(zhí)行完畢")

# 生成REST API模板
/generate rest-api --lang=java --framework=spring-boot --package=com.example

# 提取方法
/refactor extract-method --name=calculateDiscount --range=15-25

# 接口抽取
/refactor extract-interface --interface-name=PaymentGateway --methods=process

# 異常分析
/debug analyze --exception=NullPointerException --stacktrace=...

# 性能剖析
/profiler start --method=UserService.find --duration=60s

pnpm install -g @zed-industries/claude-code-acp

{
  "agent_servers": {
    "Claude Code": {
      "command": "/usr/local/bin/claude-code-acp",
      "args": ["--model", "sonnet"]
    }
  }
}

// 在Java代碼中調用Claude Code
public class CodeAssistant {
    public static void main(String[] args) {
        ClaudeCodeClient client = new ClaudeCodeClient();
        String generatedCode = client.generate(
            "Generate unit test for UserService.findUserById",
            new GenerationOptions().withModel("sonnet")
        );
    }
}

# .github/workflows/ci.yml
jobs:
  code-analysis:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Claude Code analysis
        run: |
          claude --worktree analyze --report=code-quality.md
      - name: Generate PR
        uses: peter-evans/create-pull-request@v5
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          title: "Code Quality Improvement"
          body: "Automated code review report"

// 安全策略示例
{
  "security": {
    "sandbox": {
      "enabled": true,
      "allowedTools": ["git", "mvn"]
    },
    "secrets": {
      "protection": "aes-256-gcm",
      "rotationPolicy": "90d"
    }
  }
}